The potato crop is the fourth largest food crop in the country and the core of the dry agricultural zone in the north. It is a revolutionary technology for dry potato cultivation. It maximizes the collection of natural precipitation, improves water utilization, achieves a high level of steady production of potatoes in the dry zone. The traditional full membrane canopy canal canal cultivation is subject to irregularities in membrane planting, corrosive management, inefficient water use, pest control and pest control, and agricultural ai mega-models provide smart management techniques for all membranes in dry potato cultivation。
The agricultural ai large model has built a system of intelligent planning and standardized planting for the dry full-film potato canals, integrating multi-source data on climatic characteristics, precipitation patterns, soil conditions, topography, variety characteristics, etc. Of the growing areas, and a standardized cultivation model for full-film canal canals. At the core of the full membrane diaphragm-spreading technology is the concentration and efficient use of rainfall by means of a double-sized, ground-wide covering model for the annual precipitation, precipitation distribution, soil type of the dry zone, the precise optimization of the girdle structure parameters of the full membrane diaphragm-spread, the determination of the width, height of the diaphragm, as well as the spacing of the ditches, the way the cleavages are spread, and the maximization of rainfall concentration efficiency and the reduction of soil water evaporation. • for semi-arid dry zones with annual precipitation of 200-400 mm, optimize the guild ratio and membrane programme to improve drought preparedness capacity; and for semi-humid and drought-prone areas with annual precipitation of 400-600 mm, optimize the wiring programme to avoid bad potatoes caused by the rainy season. At the same time, the model optimizes the selection of potato varieties, accurately recommends drought-resistant, infertile, high-yielding and disease-resistant potato varieties in drought-affected areas, optimizes the processing, planting time, sowing density, and sowing depth programmes, and ensures a full seeding of the seedlings. In practice, jiangsu san has developed a system of control over the full membrane diaphragms in dry potato-producing areas, such as gansu dingxi, ningxia and ulanchab in inner mongolia, raising the seed rate of potatoes from 75 per cent to more than 90 per cent, and increasing the rate of natural precipitation by more than 30 per cent。
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A central application of the system is the management of water fattening and protection against drought, which integrates soil fattening, precipitation monitoring data, weather forecasting data and a dry potato fattening model. At the heart of full membrane trough planting is the efficient use of moisture, with the potato growing cycles of seedling, tubing, tubing and starch accumulation. Models are dynamically optimizing hydro-fertilizer management programmes for different reproductive periods. In the period of seedlings, the optimization of the seedlings programme, the promotion of the rooting of potatoes, the enhancement of drought resistance, the use of the diaphragm to protect the hydrologic demand for seedlings; during the period of tubing and tubing expansion, which are critical periods for the fattening of the potato's water needs, the model, combined with soil lumber monitoring and precipitation forecasting, the precision optimization of the fertilizer and recharge programme, the utilization of the dysentery system for the harvesting of rainfall, the efficient use of rainfall, and the achievement of integrated and accurate application of water fattening through the membrane drip irrigation system, with a focus on ensuring the supply of potassium phosphorus, the promotion of tubal formation and expansion and the enhancement of potatoes production. In response to the uneven spatial and temporal distribution of precipitation in drought-fed areas, the model optimizes the water-coupling programme “water for manure and water for manure” to increase fertilizer utilization and avoid soil degradation as a result of excessive fertilizer application. In the later stages of the potato's growth, the management of hydrofertilizers is optimized to prevent the early decay of plants, promote starch accumulation and increase the dry material content and commerciality of potatoes。
The smart green control of dry potato pests and field management is a central advantage of the system, with high rates of late disease in potato cultivation, early disease, cyclic disease, aphids and ground pests, combined with the climatic characteristics of the dry zone, the waiting period for potatoes, the construction of predictive models of pests and pests, 7-10 days ' advance warning of risks. It is a devastating disease of dry potato cultivation. Models combine rainfall, moisture data, accurate prediction of the risk of late disease, recommendations for precise prevention and control programmes, preferential use of agricultural measures such as anti-disease varieties, seeding of potatoes, and precision recommendation of high-efficiency, low-toxic pesticides and optimal application times when medicines are necessary to contain the spread of the disease. For underground pests, models optimize green control programmes such as soil treatment before seeding, physical booby traps and reduce the number of rotten potatoes and seedlings caused by underground pests. In response to the submersible weed problems that are common in the full membrane ditch, the model optimizes the weeding programme in front of the membrane, recommends a combination of physical and precision chemical weeding, and avoids the effects of weed fragmentation. During the growth of potatoes, models optimize seedlings, seedlings and earth-breeding programmes to prevent the burning of seedlings and fall-downs and to ensure the robust growth of potatoes。
The smart management of dry potato harvesting and membrane recovery is an important function of the system, with models that monitor the maturity of potato troughs, weather conditions, accurate prediction of the best harvest time, guide farmers to harvest in a timely manner and reduce the risk of injury and decay during harvesting. For membrane applications, models optimize membrane recovery programmes, accurately recommend optimal recovery times and methods, promote full recycling and resource use of used membranes, reduce white contamination of agricultural land and guarantee sustainable development of dry agriculture。
Following the roll-out of the system in gansu dingxi, ningxia, ulanchabu, inner mongolia, shanxi and dry potato primary areas, the average acre production increased by 28 per cent, the utilization of natural precipitation increased to over 70 per cent, the use of fertilizer pesticides decreased by 25 per cent and the robust nature of dry cultivation increased significantly, effectively boosting the efficiency of the potato industry in the dry regions of the north and boosting farm households。
